Using AI and many types of patient data to find new Alzheimer's treatment targets
Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics Discovery
This project uses artificial intelligence to combine genetic and other biological data from people with Alzheimer's to discover new targets for future treatments.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-11176251 on NIH RePORTER |
What this research studies
From my perspective as a patient, the team will gather and reuse large amounts of human genetic, gene-activity, and protein-network data already collected from people with Alzheimer's and related dementias. They will use artificial intelligence and network-medicine tools to find groups of genes and molecular pathways that seem to drive the disease. The researchers will then prioritize genes and drug candidates that could be tested as treatments. Most of the work is done by analyzing existing human data, not by testing drugs on people right away.
Who could benefit from this research
Good fit: Ideal candidates are people with Alzheimer's disease or related dementias, or individuals who can share genetic, clinical, or tissue data for research use.
Not a fit: Patients seeking an immediate new treatment are unlikely to benefit directly in the short term, and those without available genetic or biological data would not be included.
Why it matters
Potential benefit: If successful, this work could identify new, more precisely targeted therapies that slow or stop Alzheimer’s progression with fewer side effects.
How similar studies have performed: Related AI and multi-omics approaches have produced promising candidate targets in other diseases but remain largely experimental for Alzheimer's and have not yet yielded approved therapies.
Where this research is happening
Cleveland, United States
- Cleveland Clinic Lerner Com-Cwru — Cleveland, United States (Active)
Researchers
- Principal investigator: Cheng, Feixiong — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Cheng, Feixiong
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.